Workflow audit
£350–£750
Map one workflow and create a decision pack.
First paid step · AI Workflow Audit
A focused AI workflow audit that maps one admin-heavy process, checks data and risk, and produces a safe MVP or no-AI-yet action plan.
Where this fits
Use this when AI is being discussed inside the business, but nobody has agreed what should be automated first, what data is usable, or how success will be judged.
The assessment creates a plain-English decision pack: where AI could help, where it would add risk, what can be done with existing systems, and what should wait until the foundations are better.
Commercial output
Budget guide
These are qualification ranges, not a fixed quote. The right route depends on data access, integrations, risk and review needs.
Workflow audit
Map one workflow and create a decision pack.
MVP automation build
Build one controlled workflow after the audit.
Custom ops automation
Broader workflow with integrations, reporting and support.
Interview the people doing the work, collect example documents or reports, and document the systems involved.
Rank use cases by value, data readiness, risk, user adoption and likely implementation effort.
Pick the narrowest useful project that can prove value without disrupting the business.
Hand over a plan the team can use for budget, supplier selection or implementation.
First pilot shape
Buyer questions
No. Part of the job is to find out which data is reliable enough, which data is missing, and which workflows should be improved before any model or automation work starts.
It is both, but kept practical. The output connects business value, operational workflow, data readiness and the first implementation route.
Only if a tool genuinely fits. Often the first step is a workflow, data or reporting fix before buying another platform.
Yes. The deliverable is written so a management team can see the use cases, risks, costs, owners and suggested first pilot.
Next step
Send one workflow, data source or operational bottleneck. We will help decide whether it needs AI, a simpler automation, better reporting, or no-AI-yet process cleanup.